Table 1.
Service | Author (year) | Study type | Study aims | Demographic characteristics captured | ||||
Gender | Age | Ethnicity | Sexual orientation | IMD | ||||
eSexual Health Clinic (eSHC) | Aicken et al 201851 | Qualitative interviews | To understand use and experience of the eSHC to inform future evaluation and refinement | Binary | 18–35 | ✓ | ✓ | – |
Estcourt et al 201749 | Quasi-experimental | To assess the safety and feasibility of eSHC | Binary | 18+ | ✓ | ✓ | – | |
Gibbs et al 201838 | Mixed-methods evaluation of quasi-experimental study | To evaluate the eSHC results service | – | – | – | – | – | |
Freetest.me | Dolan and Rudisill 201439 | Quasi-experimental | To explore the effect on chlamydia test return rates of non-cash financial incentives, and the influence of socioeconomic status | Binary | 16–24 | ✓ | – | Mean score |
Letstalkaboutit | Gasmelsid et al 202134 | Observational | To determine whether online screening is accessible by those patients most at need by comparing the demographics and number of asymptomatic chlamydial infections detected online and in clinic | Binary | <25, 25+ | ✓ | ✓ | –** |
National Chlamydia Screening Programme (NCSP) | Woodhall et al 20125 | Observational | To describe and evaluate access to the NCSP’s online chlamydia testing service | Binary | 15–24 | ✓ | – | ✓ |
North East Essex Primary Care Trust (PCT) | Bracebridge et al 201240 | Observational | To quantify uptake and test-positivity rates, identify factors associated with screening and compare costs of the intervention with the NCSP | Binary | 17–25 | ✓ | – | ✓# |
Saving Lives | Page et al 201947 | Observational | To ascertain how DBS HIV kits compared with MT kits in this postal testing service | Female, male, trans | Median 26 | ✓ | ✓ | – |
Sexual Health London (SHL) | Day et al 202050 | Observational | To report the rate of recent sexual assault disclosure among users of SHL, and identify the outcomes of their call-back discussions | Female, male, trans or non-binary | 18–55 | ✓ | ✓ | – |
Day et al 202143 | Observational | To assess the sexual health needs, sexual practices, STI/HIV positivity and satisfaction rates of trans and non-binary users of Sexual Health London | Female, male, trans, non-binary/gender fluid | 15–82 | ✓ | – | – | |
Day et al 202048 | Observational | To report the safeguarding concerns and outcomes of those aged 16–17 years old accessing SHL | Female, male, trans or non-binary | 16–17 | ✓ | ✓ | – | |
Day et al 202161 | Observational | To identify the characteristics and transfer to care rates of those who have a reactive HIV test result via SHL | Binary | 21–50 | ✓ | ✓ | – | |
SH:24 | Barnard et al 201832 | Observational | To compare the characteristics of e-STI service users with clinic users, and OPSS kit returners with non-returners | Binary | 16+ | ✓ | ✓ | ✓ |
Barnard 2020 (Chapter 6)52 | Qualitative interviews | To describe the experiences, barriers and facilitators of SH:24 in Lambeth and Southwark | Female, male, trans | 16–30 | ✓ | ✓ | – | |
Syred et al 201937 | Observational | To describe user choice of OPSS orders and diagnoses in a ‘choose to test’ intervention | Binary | 16–24 | ✓ | ✓ | ✓ | |
Turner et al 201820 | Observational | To investigate the effect of decision-making on resource allocation in a clinic after the introduction of an e-STI service in Lambeth and Southwark | Binary | 16+ | ✓ | ✓ | – | |
Turner et al 201933 | Observational and model generation | To establish cost-effectiveness of an OPSS service, and explore cost per diagnosis in different scenarios | – | – | – | – | – | |
Wilson et al 201744 | Experimental | To assess the effectiveness of an OPSS service compared with face-to-face services | Female, male, trans | 16–30 | ✓ | ✓ | – | |
Wilson et al 201945 | Secondary data analysis of experimental study | To examine the effect of an e-STI service on testing uptake on people who had never previously tested (never-testers) | Female, male, trans | 16–30 | ✓ | ✓ | – | |
TakeATestUK.com | Page et al 202141 | Observational | To ascertain how DBS HIV and syphilis kits compared with MT kits in this postal testing service | Female, male, trans | Mean 27 | ✓ | ✓ | – |
Umbrella | Banerjee et al 201835 | Observational | To evaluate the rates of uptake and return of OPSS kits and compare patient demographics and clinical outcomes in home and clinic testers | Female, male, trans | 16+ | ✓ | ✓ | – |
Banerjee et al 202036 | Observational | To evaluate the uptake, return rate and new diagnosis rates of home-based testing in comparison with clinic-based testing for HIV, syphilis and hepatitis B | Female, male, trans | 16+ | ✓ | ✓ | – | |
Manavi and Hodson 201746 | Observational | To establish which factors influence return of OPSS kits | Female, male, trans | – | – | – | IMD rank |
** Unstated, but reported as no difference between groups # Bracebridge et al. 2012 have labelled IMD quintile 1 as least deprived and IMD quintile 5 as most deprived in their paper. This may be an error and makes this data difficult to interpret. The corresponding author has been contacted for clarification.
DBS, dried blood sample; IMD, Index of Multiple Deprivation; MT, mini-test; OPSS, online postal self-sampling.